Shivam Patel

Shivam Patel Email and Phone Number

Senior Machine Learning Engineer @ Apple
Mountain View, CA, US
Shivam Patel's Location
Mountain View, California, United States, United States
About Shivam Patel

Latest CV - https://resume.shivampatel.dev/latestI have been actively pursuing work in machine learning both in implementation and research domains. With a dozen of Machine Learning and Computer Vision based projects in my credit. Comfortable with Tensorflow, Theano, Torch, Caffe and the standard python libraries. Also worked in analytical number theory especially Ramanujan mathematics . Have been a keen programmer with interest in Algorithms, Data science,Machine Learning . Comfortable with C, C++, Java, Python,Perl, Matlab, Mathematica, MySQL, HTML, CSS, Javascript, MongoDB. Worked many open source projects like Golly, PowderToy etc. Ranked 31 in the world in Project Euler + at Hackerrank. Erdos number 2. I have had research collaborations from MIT, Harvard University, Stanford University and Caltech. I love to actively pursue theortic research in mathematical algorthims and applications of machine learning in logic.

Shivam Patel's Current Company Details
Apple

Apple

View
Senior Machine Learning Engineer
Mountain View, CA, US
Website:
apple.com
Employees:
163018
Company phone:
916.253.7820
Shivam Patel Work Experience Details
  • Apple
    Senior Machine Learning Engineer
    Apple
    Mountain View, Ca, Us
  • Google
    Software Engineer - Machine Learning
    Google Feb 2022 - Present
    Mountain View, Ca, Us
    I work on Applied Machine Learning predominantly on Google Ads. My work spans broad areas including building, improvement and optimization of Large Scale Recommendations System by using Nueral Architecture Search, Privacy Preserving Machine Learning Techniques and LLM based feature engineering.
  • Adobe
    Machine Learning Research Intern
    Adobe May 2021 - Aug 2021
    San Jose, Ca, Us
    ◦ Research: Worked with the Applied Science and ML Team for developing robust transformer-based multi-modal deep learning architectures for text-based video object segmentation and video retrieval. Deployed scalable systems to enable large scale text-based video editing pipelines. A patent is under filing for the work carried out. ◦ Development: Developed a modular, extensible and flexible framework for text-based video object segmentation. The framework was initiated with Python and CUDA implementation of Space-Time Correspondence Networkscoupled with Attention- Encoder-Decoder modules for multi-modal language and visual understanding. We deployed the application with Docker on an Amazon EC2 instance served with Flask.
  • University Of Cambridge
    Visiting Research Student
    University Of Cambridge Jan 2020 - May 2020
    Cambridge, England, Gb
    Working on my undergraduate thesis under the guidance of Dr Shahar Avin and Dr Jess Whittlestone at the Centre for the Study of Existential Risk. Here I developed a family of highly scalable and customizable agent-based models of AI research to understand the epistemology of machine learning research and how various factors like funding, research resources, hype and regulation impact it. These models were developed to have various deep reinforcement learning algorithms and game theoretic heuristics as a part of their decision making routines. Useful optimization techniques were developed to make them a useful computational tool for policy researchers, computer scientists, social scientists and philosophers.
  • Mila - Quebec Artificial Intelligence Institute
    Visiting Researcher
    Mila - Quebec Artificial Intelligence Institute Jun 2019 - Jan 2020
    Montréal, Québec, Ca
    Worked under the Turing Laureate Prof Yoshua Bengio on areas at the intersection of Climate Change, Economics and Reinforcement Learning.
  • Caltech
    Visiting Undergraduate Researcher
    Caltech May 2018 - Aug 2018
    Pasadena, Ca, Us
    Worked with Prof David Van Valen on using Deep Learning on segmentation of 3 Dimensional Cell segmentation of live real time biological data.
  • Massachusetts Institute Of Technology
    Invited Researcher
    Massachusetts Institute Of Technology May 2017 - Jul 2017
    Cambridge, Ma, Us
    I worked with Professor Gilbert Strang for mathematical formulation of Machine Learning and we explored various statistical methods and Tensor decomposition tools. He offered me to write a chapter about the same in his upcoming book.
  • Ted Conferences
    Speaker
    Ted Conferences Apr 2017 - Apr 2017
    New York, Ny, Us
    Delivered a Tedx talk titled "Classrooms Beyond Boundaries" and another one titled "The AI dilema".

Shivam Patel Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Computer Science
  • Nirma University
    Nirma University
    Computer Engineering
  • University Of Cambridge
    University Of Cambridge
    Computer Science
  • St Xaviers Loyola Ahmedabad
    St Xaviers Loyola Ahmedabad
    High School/Secondary Diplomas And Certificates

Frequently Asked Questions about Shivam Patel

What company does Shivam Patel work for?

Shivam Patel works for Apple

What is Shivam Patel's role at the current company?

Shivam Patel's current role is Senior Machine Learning Engineer.

What schools did Shivam Patel attend?

Shivam Patel attended Carnegie Mellon University, Nirma University, University Of Cambridge, St Xaviers Loyola Ahmedabad.

Who are Shivam Patel's colleagues?

Shivam Patel's colleagues are Darioush Sedaghatian, Jessica Farr, Sruthi Reddy, Yaser Kazzaz, Cscp, Wenya Chen, Sumit Mishra, Purva Anasane.

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